twood02
commented
8 years ago Look for implication of brain being a small world network to know what metrics to use.
Next steps: meet with prof. Vora. See if some brains stand out in both small world and other data
@twood02 I calculated the small-worldness of each brain and compared that metric with each of the 550 behavioral variables.
The small-worldness measure includes clustering coefficient and path length. I calculated the clustering coefficient and path length described in this paper (commit). Before calculating the small-worldness, I read in the brain connectivity data (commit).
After calculating the small-worldness measure, I read in the behavioral data and removed the subjects for which there was not both brain and behavorial data (commit). Then I compared the small-worldness to each behavioral variable for every individual (commit).
All code is mine. I have been pushing commits to my private senior design repository, which is why I have so many commits to this repo on 11/6. Moving forward, I will be sure to commit to this repo instead of my private repo.